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Edge Computing Systems with Kubernetes

You're reading from   Edge Computing Systems with Kubernetes A use case guide for building edge systems using K3s, k3OS, and open source cloud native technologies

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Product type Paperback
Published in Oct 2022
Publisher Packt
ISBN-13 9781800568594
Length 458 pages
Edition 1st Edition
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Author (1):
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Sergio Mendez Sergio Mendez
Author Profile Icon Sergio Mendez
Sergio Mendez
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Edge Computing Basics
2. Chapter 1: Edge Computing with Kubernetes FREE CHAPTER 3. Chapter 2: K3s Installation and Configuration 4. Chapter 3: K3s Advanced Configurations and Management 5. Chapter 4: k3OS Installation and Configurations 6. Chapter 5: K3s Homelab for Edge Computing Experiments 7. Part 2: Cloud Native Applications at the Edge
8. Chapter 6: Exposing Your Applications Using Ingress Controllers and Certificates 9. Chapter 7: GitOps with Flux for Edge Applications 10. Chapter 8: Observability and Traffic Splitting Using Linkerd 11. Chapter 9: Edge Serverless and Event-Driven Architectures with Knative and Cloud Events 12. Chapter 10: SQL and NoSQL Databases at the Edge 13. Part 3: Edge Computing Use Cases in Practice
14. Chapter 11: Monitoring the Edge with Prometheus and Grafana 15. Chapter 12: Communicating with Edge Devices across Long Distances Using LoRa 16. Chapter 13: Geolocalization Applications Using GPS, NoSQL, and K3s Clusters 17. Chapter 14: Computer Vision with Python and K3s Clusters 18. Chapter 15: Designing Your Own Edge Computing System 19. Index 20. Other Books You May Enjoy

Contour ingress controller installation and use

Contour is an Envoy-based ingress controller. The advantage of using Envoy is that it’s fast and includes some powerful features that are found in service meshes, such as rate limits, advanced routing, metrics, and so on. If speed is key in your project, Contour will be the best solution in most cases. Contour is a lightweight solution and is optimized to run quickly. This makes Contour a good choice for edge computing. Now let’s move on to start using Contour.

To install Contour, follow the next steps:

  1. Install Contour using the quickstart configuration it provides:
    $ kubectl apply -f https://projectcontour.io/quickstart/contour.yaml
  2. If you want to use nip.io, you have to first find the IP of the Contour load balancer and create an entry in the /etc/hosts file from your machine. To find the IP of Contour, run the following command:
    $ IP_LOADBALANCER=$(kubectl get svc envoy--output jsonpath='{.status.loadBalancer...
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